Closed priyashuu closed 3 weeks ago
Adding Principal Component Analysis (PCA) Visualizations
Introduce PCA as a dimensionality reduction technique that transforms data into a lower-dimensional space while retaining essential features.
PCA is essential for simplifying data analysis and visualization. This feature will help users handle high-dimensional data efficiently.
No response
New Algorithm
👋 Hi @priyashuu! Thanks for opening this issue. We appreciate your contribution to the Algo project. Our team will review it soon.
please assign this issue to me @ajay-dhangar
Feature Name
Adding Principal Component Analysis (PCA) Visualizations
Feature Description
Introduce PCA as a dimensionality reduction technique that transforms data into a lower-dimensional space while retaining essential features.
Motivation
PCA is essential for simplifying data analysis and visualization. This feature will help users handle high-dimensional data efficiently.
Implementation Suggestions (Optional)
No response
Feature Type
New Algorithm
Does this feature require additional resources?
References (Optional)
No response